Rush for growth at the tech debt
Rush for growth at the tech debt
It's reputed there is utopia, pretty much that's it.
And one can also learn how big systems work at scale.
The product is not technology; it's the users. The "users of the product" are advertisers.
Improving product quality is extremely low priority for an engineer.
There is a negative EV if one wants to make a good product, but there is a high EV for doing cheap hacks to force-feed a product to users and show growth.
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Meta Interview Questions
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Software Engineer
Pretty standard. Just grind LeetCode. They basically want you to make zero mistakes and solve problems like a robot. They don’t really care about your thought process, just that you find the most optimized solution ASAP.
Software Engineer
The whole process took about two months. It started with a 30-minute recruiter call, then a 90-minute online assessment with four questions. I didn’t have time to finish all four, but somehow passed that round. The next step was a technical screenin
Software Engineer
Technical Phone Screen A 45-minute coding interview where you will solve one or two coding problems, focusing on optimal solutions, edge cases, and complexity analysis. Usually, more than two problems will be asked, and there will be follow-ups to t
Software Engineer
Menlo Park, California, United StatesNovember 8, 2025Pretty standard. Just grind LeetCode. They basically want you to make zero mistakes and solve problems like a robot. They don’t really care about your thought process, just that you find the most optimized solution ASAP.
Software Engineer
Menlo Park, California, United StatesOctober 1, 2025The whole process took about two months. It started with a 30-minute recruiter call, then a 90-minute online assessment with four questions. I didn’t have time to finish all four, but somehow passed that round. The next step was a technical screenin
Software Engineer
Menlo Park, California, United StatesSeptember 14, 2025Technical Phone Screen A 45-minute coding interview where you will solve one or two coding problems, focusing on optimal solutions, edge cases, and complexity analysis. Usually, more than two problems will be asked, and there will be follow-ups to t
